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Mobile Information Systems
Volume 2017 (2017), Article ID 3613496, 8 pages
Research Article

Performance Analysis and Optimization for Cognitive Radio Networks with Classified Secondary Users and Impatient Packets

Yuan Zhao1,2 and Luyi Bai1,2

1School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
2School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

Correspondence should be addressed to Yuan Zhao; moc.361@58hznauy

Received 13 March 2017; Accepted 17 May 2017; Published 10 July 2017

Academic Editor: Alessandro Bazzi

Copyright © 2017 Yuan Zhao and Luyi Bai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A cognitive radio network with classified Secondary Users (SUs) is considered. There are two types of SU packets, namely, SU1 packets and SU2 packets, in the system. The SU1 packets have higher priority than the SU2 packets. Considering the diversity of the SU packets and the real-time need of the interrupted SU packets, a novel spectrum allocation strategy with classified SUs and impatient packets is proposed. Based on the number of PU packets, SU1 packets, and SU2 packets in the system, by modeling the queue dynamics of the networks users as a three-dimensional discrete-time Markov chain, the transition probability matrix of the Markov chain is given. Then with the steady-state analysis, some important performance measures of the SU2 packets are derived to show the system performance with numerical results. Specially, in order to optimize the system actions of the SU2 packets, the individually optimal strategy and the socially optimal strategy for the SU2 packets are demonstrated. Finally, a pricing mechanism is provided to oblige the SU2 packets to follow the socially optimal strategy.